ArticleBiomedical optics express2014
Measurement of a multi-layered tear film phantom using optical coherence tomography and statistical decision theory.
Article in Biomedical optics express, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Novel Approaches for Imaging-Based Diagnosis of Ocular Surface Disease.Diagnostics (Basel, Switzerland) · 2020Review
- An imaging system integrating optical coherence tomography and interferometry for in vivo measurement of the thickness and dynamics of the tear film.Biomedical engineering online · 2018Article
- Mechanisms, imaging and structure of tear film breakup.The ocular surface · 2018Review
- Optical Assessment of Soft Contact Lens Edge-Thickness.Optometry and vision science : official publication of the American Academy of Optometry · 2016Article
- Super-resolved thickness maps of thin film phantoms and in vivo visualization of tear film lipid layer using OCT.Biomedical optics express · 2016Article
- Comparison of very-high-frequency ultrasound and spectral-domain optical coherence tomography corneal and epithelial thickness maps.Journal of cataract and refractive surgery · 2016Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
To extend our understanding of tear film dynamics for the management of dry eye disease, we propose a method to optically sense the tear film and estimate simultaneously the thicknesses of the lipid and aqueous layers. The proposed method, SDT-OCT, combines ultra-high axial resolution optical coherence tomography (OCT) and a robust estimator based on statistical decision theory (SDT) to achieve thickness measurements at the nanometer scale. Unlike conventional Fourier-domain OCT where peak detection of layers occurs in Fourier space, in SDT-OCT thickness is estimated using statistical decision theory directly on the raw spectra acquired with the OCT system. In this paper, we demonstrate in simulation that a customized OCT system tailored to ~1 µm axial point spread function (FWHM) in the corneal tissue, combined with the maximum-likelihood estimator, can estimate thicknesses of the nanometer-scale lipid and micron-scale aqueous layers of the tear film, simultaneously, with nanometer precision. This capability was validated in experiments using a physical phantom that consists of two layers of optical coatings that mimic the lipid and aqueous layers of the tear film.
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Registered trials
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